Stratified uniform sampling method for power system reliability evaluation

被引：0
|
作者：
机构：
[1] College of Electrical Engineering, Zhejiang University
[2] Zhejiang Electric Power Design Institute
来源：
Huang, J. (huangjn1988@126.com) | 1600年 / Automation of Electric Power Systems Press卷 / 36期
关键词：
Importance sampling; Monte Carlo sampling; Power systems; Reliability evaluation; Stratified sampling;
D O I：
10.3969/j.issn.1000-1026.2012.20.004
中图分类号：
学科分类号：
摘要：
To avoid low efficiency of the traditional Monte Carlo sampling method in power system reliability evaluation, a stratified uniform sampling method is proposed, which combines the advantages of stratified sampling and importance sampling. The method proposed can help avoid the complexity of constructing the importance sampling function, and reduce the experiment times by stratified sampling. Without sampling on zero fault state space, the method proposed can be effectively applied in the high reliability system. The rationality of this method is deduced in theory. Tests on IEEE-RTS 79 system and the revised system with higher reliability demonstrate the high efficiency of the proposed method. © 2012 State Grid Electric Power Research Institute Press.
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页码：19 / 24
页数：5
相关论文
共 16 条
  • [1] (2010)
  • [2] Billinton R., Allan R., Reliability Evaluation of Power Systems, pp. 3-8, (1996)
  • [3] Bie Z., Wang X., The application of Monte Carlo method to reliability evaluation of power systems, Automation of Electric Power Systems, 21, 6, pp. 68-75, (1997)
  • [4] Wang B., Zhao Y., Liu W., Et al., Power system reliability assessment using importance sampling method with splitting optimal multiplier, Automation of Electric Power Systems, 32, 19, pp. 30-34, (2008)
  • [5] Song X., Tan Z., Application of improved importance sampling method in power system reliability evaluation, Power System Technology, 29, 13, pp. 56-64, (2005)
  • [6] Xie S., Wang X., Wang X., Et al., Application of adaptive importance sampling technique in reliability evaluation of composite generation and transmission systems, Automation of Electric Power Systems, 34, 5, pp. 13-17, (2010)
  • [7] Wang X., Guo R., Cao Y., Et al., A self-adapting stratified and importance sampling method for power system reliability evaluation, Automation of Electric Power Systems, 35, 3, pp. 33-38, (2011)
  • [8] Ding M., Li S., Method for speeding up convergence of Monte-Carlo simulation in reliability calculation, Automation of Electric Power Systems, 24, 12, pp. 16-19, (2000)
  • [9] (2006)
  • [10] Song X., Tan Z., Power system reliability evaluation based on optimal and selective analysis algorithm, Automation of Electric Power Systems, 33, 5, pp. 29-33, (2009)
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